Overview

Brought to you by YData

Dataset statistics

Number of variables24
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory200.0 B

Variable types

TimeSeries22
Numeric2

Timeseries statistics

Number of series22
Time series length30
Starting point1752349080000
Ending point1752350820000
Period60000
2025-07-22T20:37:29.697814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:29.815161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

close is highly overall correlated with ema_7 and 12 other fieldsHigh correlation
ema_14 is highly overall correlated with ema_60 and 8 other fieldsHigh correlation
ema_21 is highly overall correlated with macdhist_7 and 1 other fieldsHigh correlation
ema_60 is highly overall correlated with ema_14 and 10 other fieldsHigh correlation
ema_7 is highly overall correlated with close and 16 other fieldsHigh correlation
high is highly overall correlated with close and 12 other fieldsHigh correlation
low is highly overall correlated with close and 12 other fieldsHigh correlation
macd_7 is highly overall correlated with close and 17 other fieldsHigh correlation
macdhist_7 is highly overall correlated with ema_14 and 7 other fieldsHigh correlation
macdsignal_7 is highly overall correlated with ema_14 and 8 other fieldsHigh correlation
obv is highly overall correlated with volumeHigh correlation
open is highly overall correlated with close and 12 other fieldsHigh correlation
rsi_14 is highly overall correlated with close and 14 other fieldsHigh correlation
rsi_21 is highly overall correlated with close and 16 other fieldsHigh correlation
rsi_60 is highly overall correlated with close and 13 other fieldsHigh correlation
rsi_7 is highly overall correlated with close and 7 other fieldsHigh correlation
sma_14 is highly overall correlated with ema_14 and 8 other fieldsHigh correlation
sma_21 is highly overall correlated with ema_21 and 1 other fieldsHigh correlation
sma_60 is highly overall correlated with ema_14 and 10 other fieldsHigh correlation
sma_7 is highly overall correlated with close and 16 other fieldsHigh correlation
target is highly overall correlated with close and 10 other fieldsHigh correlation
volume is highly overall correlated with obvHigh correlation
window_end_ms is highly overall correlated with close and 12 other fieldsHigh correlation
window_start_ms is highly overall correlated with close and 12 other fieldsHigh correlation
open is non stationary Non stationary
high is non stationary Non stationary
low is non stationary Non stationary
close is non stationary Non stationary
window_start_ms is non stationary Non stationary
window_end_ms is non stationary Non stationary
sma_7 is non stationary Non stationary
sma_14 is non stationary Non stationary
sma_21 is non stationary Non stationary
sma_60 is non stationary Non stationary
ema_7 is non stationary Non stationary
ema_14 is non stationary Non stationary
ema_21 is non stationary Non stationary
ema_60 is non stationary Non stationary
rsi_7 is non stationary Non stationary
rsi_14 is non stationary Non stationary
rsi_21 is non stationary Non stationary
rsi_60 is non stationary Non stationary
macd_7 is non stationary Non stationary
macdsignal_7 is non stationary Non stationary
macdhist_7 is non stationary Non stationary
target is non stationary Non stationary
window_start_ms is uniformly distributed Uniform
window_end_ms is uniformly distributed Uniform
window_start_ms has unique values Unique
window_end_ms has unique values Unique
volume has unique values Unique
sma_14 has unique values Unique
sma_21 has unique values Unique
sma_60 has unique values Unique
ema_14 has unique values Unique
ema_21 has unique values Unique
ema_60 has unique values Unique
rsi_7 has unique values Unique
rsi_14 has unique values Unique
rsi_21 has unique values Unique
rsi_60 has unique values Unique
macd_7 has unique values Unique
macdsignal_7 has unique values Unique
macdhist_7 has unique values Unique
obv has unique values Unique

Reproduction

Analysis started2025-07-22 19:37:08.193519
Analysis finished2025-07-22 19:37:29.637925
Duration21.44 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

open
Numeric time series

High correlation  Non stationary 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2498.8137
Minimum2496.94
Maximum2500
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:29.908169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2496.94
5-th percentile2497.317
Q12498.0925
median2498.89
Q32499.815
95-th percentile2500
Maximum2500
Range3.06
Interquartile range (IQR)1.7225

Descriptive statistics

Standard deviation0.97933645
Coefficient of variation (CV)0.00039192056
Kurtosis-1.3353483
Mean2498.8137
Median Absolute Deviation (MAD)0.855
Skewness-0.19952916
Sum74964.41
Variance0.95909989
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8974400285
2025-07-22T20:37:29.952963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
2025-07-22T20:37:30.066685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:30.093798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2500 3
 
10.0%
2498.16 3
 
10.0%
2499.98 2
 
6.7%
2499.19 1
 
3.3%
2499.39 1
 
3.3%
2499.95 1
 
3.3%
2499.93 1
 
3.3%
2499.54 1
 
3.3%
2499.68 1
 
3.3%
2499.86 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
2496.94 1
3.3%
2497.29 1
3.3%
2497.35 1
3.3%
2497.58 1
3.3%
2497.82 1
3.3%
2497.97 1
3.3%
2497.98 1
3.3%
2498.09 1
3.3%
2498.1 1
3.3%
2498.15 1
3.3%
ValueCountFrequency (%)
2500 3
10.0%
2499.98 2
6.7%
2499.95 1
 
3.3%
2499.93 1
 
3.3%
2499.86 1
 
3.3%
2499.68 1
 
3.3%
2499.66 1
 
3.3%
2499.54 1
 
3.3%
2499.39 1
 
3.3%
2499.19 1
 
3.3%
2025-07-22T20:37:29.983895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

high
Numeric time series

High correlation  Non stationary 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2498.9917
Minimum2496.96
Maximum2500.66
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:30.142923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2496.96
5-th percentile2497.458
Q12498.1425
median2499.215
Q32499.99
95-th percentile2500.165
Maximum2500.66
Range3.7
Interquartile range (IQR)1.8475

Descriptive statistics

Standard deviation1.0383345
Coefficient of variation (CV)0.00041550138
Kurtosis-1.3464202
Mean2498.9917
Median Absolute Deviation (MAD)0.92
Skewness-0.20853654
Sum74969.75
Variance1.0781385
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9557450804
2025-07-22T20:37:30.186723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
2025-07-22T20:37:30.536804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:30.562716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2500 4
 
13.3%
2498.16 4
 
13.3%
2498.1 3
 
10.0%
2499.99 3
 
10.0%
2499.95 1
 
3.3%
2499.65 1
 
3.3%
2499.93 1
 
3.3%
2500.66 1
 
3.3%
2499.43 1
 
3.3%
2499.28 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
2496.96 1
 
3.3%
2497.35 1
 
3.3%
2497.59 1
 
3.3%
2497.85 1
 
3.3%
2498.1 3
10.0%
2498.14 1
 
3.3%
2498.15 1
 
3.3%
2498.16 4
13.3%
2498.78 1
 
3.3%
2499.15 1
 
3.3%
ValueCountFrequency (%)
2500.66 1
 
3.3%
2500.3 1
 
3.3%
2500 4
13.3%
2499.99 3
10.0%
2499.95 1
 
3.3%
2499.93 1
 
3.3%
2499.67 1
 
3.3%
2499.65 1
 
3.3%
2499.43 1
 
3.3%
2499.28 1
 
3.3%
2025-07-22T20:37:30.215126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

low
Numeric time series

High correlation  Non stationary 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2498.6533
Minimum2496.94
Maximum2499.99
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:30.605807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2496.94
5-th percentile2497.215
Q12498.09
median2498.5
Q32499.6225
95-th percentile2499.954
Maximum2499.99
Range3.05
Interquartile range (IQR)1.5325

Descriptive statistics

Standard deviation0.94812822
Coefficient of variation (CV)0.00037945569
Kurtosis-1.2350697
Mean2498.6533
Median Absolute Deviation (MAD)0.855
Skewness-0.088579382
Sum74959.6
Variance0.89894713
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9055330328
2025-07-22T20:37:30.646168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
2025-07-22T20:37:30.759460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:30.784322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2498.15 4
 
13.3%
2498.09 2
 
6.7%
2499.99 2
 
6.7%
2498.88 1
 
3.3%
2499.73 1
 
3.3%
2499.65 1
 
3.3%
2499.52 1
 
3.3%
2499.08 1
 
3.3%
2499.68 1
 
3.3%
2499.91 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
2496.94 1
 
3.3%
2497.17 1
 
3.3%
2497.27 1
 
3.3%
2497.28 1
 
3.3%
2497.58 1
 
3.3%
2497.82 1
 
3.3%
2497.95 1
 
3.3%
2498.09 2
6.7%
2498.15 4
13.3%
2498.37 1
 
3.3%
ValueCountFrequency (%)
2499.99 2
6.7%
2499.91 1
3.3%
2499.86 1
3.3%
2499.73 1
3.3%
2499.68 1
3.3%
2499.66 1
3.3%
2499.65 1
3.3%
2499.54 1
3.3%
2499.52 1
3.3%
2499.29 1
3.3%
2025-07-22T20:37:30.674728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

close
Numeric time series

High correlation  Non stationary 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2498.8467
Minimum2496.95
Maximum2500.29
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:30.821230image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2496.95
5-th percentile2497.447
Q12498.11
median2498.815
Q32499.88
95-th percentile2500
Maximum2500.29
Range3.34
Interquartile range (IQR)1.77

Descriptive statistics

Standard deviation0.97269385
Coefficient of variation (CV)0.00038925712
Kurtosis-1.2962719
Mean2498.8467
Median Absolute Deviation (MAD)0.84
Skewness-0.09810048
Sum74965.4
Variance0.94613333
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9669973626
2025-07-22T20:37:30.861842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
2025-07-22T20:37:30.970820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:30.996132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.99 3
 
10.0%
2500 3
 
10.0%
2498.15 3
 
10.0%
2498.09 2
 
6.7%
2499.65 1
 
3.3%
2499.08 1
 
3.3%
2499.73 1
 
3.3%
2499.66 1
 
3.3%
2499.93 1
 
3.3%
2500.29 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
2496.95 1
 
3.3%
2497.33 1
 
3.3%
2497.59 1
 
3.3%
2497.73 1
 
3.3%
2497.85 1
 
3.3%
2498.09 2
6.7%
2498.1 1
 
3.3%
2498.14 1
 
3.3%
2498.15 3
10.0%
2498.16 1
 
3.3%
ValueCountFrequency (%)
2500.29 1
 
3.3%
2500 3
10.0%
2499.99 3
10.0%
2499.93 1
 
3.3%
2499.73 1
 
3.3%
2499.66 1
 
3.3%
2499.65 1
 
3.3%
2499.29 1
 
3.3%
2499.08 1
 
3.3%
2499.04 1
 
3.3%
2025-07-22T20:37:30.890538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

window_start_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.75235 × 1012
Minimum1.7523491 × 1012
Maximum1.7523508 × 1012
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:31.034905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7523491 × 1012
5-th percentile1.7523492 × 1012
Q11.7523495 × 1012
median1.75235 × 1012
Q31.7523504 × 1012
95-th percentile1.7523507 × 1012
Maximum1.7523508 × 1012
Range1740000
Interquartile range (IQR)870000

Descriptive statistics

Standard deviation528204.51
Coefficient of variation (CV)3.0142638 × 10-7
Kurtosis-1.2
Mean1.75235 × 1012
Median Absolute Deviation (MAD)450000
Skewness0
Sum5.2570498 × 1013
Variance2.79 × 1011
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585340367
2025-07-22T20:37:31.083652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:31.203300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:31.231040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.75234908 × 10121
 
3.3%
1.75234914 × 10121
 
3.3%
1.7523492 × 10121
 
3.3%
1.75234926 × 10121
 
3.3%
1.75234932 × 10121
 
3.3%
1.75234938 × 10121
 
3.3%
1.75234944 × 10121
 
3.3%
1.7523495 × 10121
 
3.3%
1.75234956 × 10121
 
3.3%
1.75234962 × 10121
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1.75234908 × 10121
3.3%
1.75234914 × 10121
3.3%
1.7523492 × 10121
3.3%
1.75234926 × 10121
3.3%
1.75234932 × 10121
3.3%
1.75234938 × 10121
3.3%
1.75234944 × 10121
3.3%
1.7523495 × 10121
3.3%
1.75234956 × 10121
3.3%
1.75234962 × 10121
3.3%
ValueCountFrequency (%)
1.75235082 × 10121
3.3%
1.75235076 × 10121
3.3%
1.7523507 × 10121
3.3%
1.75235064 × 10121
3.3%
1.75235058 × 10121
3.3%
1.75235052 × 10121
3.3%
1.75235046 × 10121
3.3%
1.7523504 × 10121
3.3%
1.75235034 × 10121
3.3%
1.75235028 × 10121
3.3%
2025-07-22T20:37:31.115503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

window_end_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.75235 × 1012
Minimum1.7523491 × 1012
Maximum1.7523509 × 1012
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:31.279402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7523491 × 1012
5-th percentile1.7523492 × 1012
Q11.7523496 × 1012
median1.75235 × 1012
Q31.7523504 × 1012
95-th percentile1.7523508 × 1012
Maximum1.7523509 × 1012
Range1740000
Interquartile range (IQR)870000

Descriptive statistics

Standard deviation528204.51
Coefficient of variation (CV)3.0142637 × 10-7
Kurtosis-1.2
Mean1.75235 × 1012
Median Absolute Deviation (MAD)450000
Skewness0
Sum5.25705 × 1013
Variance2.79 × 1011
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585325437
2025-07-22T20:37:31.323679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:31.448278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:31.476480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.75234914 × 10121
 
3.3%
1.7523492 × 10121
 
3.3%
1.75234926 × 10121
 
3.3%
1.75234932 × 10121
 
3.3%
1.75234938 × 10121
 
3.3%
1.75234944 × 10121
 
3.3%
1.7523495 × 10121
 
3.3%
1.75234956 × 10121
 
3.3%
1.75234962 × 10121
 
3.3%
1.75234968 × 10121
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1.75234914 × 10121
3.3%
1.7523492 × 10121
3.3%
1.75234926 × 10121
3.3%
1.75234932 × 10121
3.3%
1.75234938 × 10121
3.3%
1.75234944 × 10121
3.3%
1.7523495 × 10121
3.3%
1.75234956 × 10121
3.3%
1.75234962 × 10121
3.3%
1.75234968 × 10121
3.3%
ValueCountFrequency (%)
1.75235088 × 10121
3.3%
1.75235082 × 10121
3.3%
1.75235076 × 10121
3.3%
1.7523507 × 10121
3.3%
1.75235064 × 10121
3.3%
1.75235058 × 10121
3.3%
1.75235052 × 10121
3.3%
1.75235046 × 10121
3.3%
1.7523504 × 10121
3.3%
1.75235034 × 10121
3.3%
2025-07-22T20:37:31.355272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

volume
Real number (ℝ)

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.69459188
Minimum0.05944742
Maximum3.217108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size480.0 B
2025-07-22T20:37:31.521767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.05944742
5-th percentile0.07068262
Q10.139157
median0.37800806
Q30.8773246
95-th percentile2.3191077
Maximum3.217108
Range3.1576605
Interquartile range (IQR)0.73816761

Descriptive statistics

Standard deviation0.81724446
Coefficient of variation (CV)1.1765822
Kurtosis2.4112044
Mean0.69459188
Median Absolute Deviation (MAD)0.27260609
Skewness1.7465298
Sum20.837756
Variance0.6678885
MonotonicityNot monotonic
2025-07-22T20:37:31.557686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.39955128 1
 
3.3%
0.0946321 1
 
3.3%
0.9579519 1
 
3.3%
0.11617183 1
 
3.3%
0.31358993 1
 
3.3%
0.12645153 1
 
3.3%
1.21947314 1
 
3.3%
0.47274623 1
 
3.3%
2.22078777 1
 
3.3%
0.4023352 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.05944742 1
3.3%
0.06543908 1
3.3%
0.07709139 1
3.3%
0.09001454 1
3.3%
0.0946321 1
3.3%
0.11617183 1
3.3%
0.12024614 1
3.3%
0.12645153 1
3.3%
0.17727339 1
3.3%
0.19983838 1
3.3%
ValueCountFrequency (%)
3.21710797 1
3.3%
2.39955128 1
3.3%
2.22078777 1
3.3%
2.11775256 1
3.3%
1.5530897 1
3.3%
1.21947314 1
3.3%
0.9579519 1
3.3%
0.88299167 1
3.3%
0.86032339 1
3.3%
0.70138349 1
3.3%

sma_7
Numeric time series

High correlation  Non stationary 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2499.0022
Minimum2497.82
Maximum2499.9371
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:31.595615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2497.82
5-th percentile2497.9835
Q12498.1411
median2499.1993
Q32499.6954
95-th percentile2499.9121
Maximum2499.9371
Range2.1171429
Interquartile range (IQR)1.5542857

Descriptive statistics

Standard deviation0.76668719
Coefficient of variation (CV)0.00030679733
Kurtosis-1.7157918
Mean2499.0022
Median Absolute Deviation (MAD)0.65928571
Skewness-0.2158634
Sum74970.066
Variance0.58780925
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9376106688
2025-07-22T20:37:31.634814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
2025-07-22T20:37:31.755053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:31.778781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.69 2
 
6.7%
2498.87 1
 
3.3%
2499.175714 1
 
3.3%
2499.455714 1
 
3.3%
2499.671429 1
 
3.3%
2499.767143 1
 
3.3%
2499.768571 1
 
3.3%
2499.805714 1
 
3.3%
2499.937143 1
 
3.3%
2499.888571 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
2497.82 1
3.3%
2497.982857 1
3.3%
2497.984286 1
3.3%
2498.064286 1
3.3%
2498.071429 1
3.3%
2498.092857 1
3.3%
2498.125714 1
3.3%
2498.127143 1
3.3%
2498.182857 1
3.3%
2498.317143 1
3.3%
ValueCountFrequency (%)
2499.937143 1
3.3%
2499.931429 1
3.3%
2499.888571 1
3.3%
2499.88 1
3.3%
2499.805714 1
3.3%
2499.768571 1
3.3%
2499.767143 1
3.3%
2499.697143 1
3.3%
2499.69 2
6.7%
2499.671429 1
3.3%
2025-07-22T20:37:31.664953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2498.97
Minimum2497.9457
Maximum2499.8107
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:31.816376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2497.9457
5-th percentile2498.1378
Q12498.4384
median2498.9564
Q32499.5577
95-th percentile2499.7832
Maximum2499.8107
Range1.865
Interquartile range (IQR)1.1192857

Descriptive statistics

Standard deviation0.59675599
Coefficient of variation (CV)0.00023880079
Kurtosis-1.4155436
Mean2498.97
Median Absolute Deviation (MAD)0.57285714
Skewness-0.046347549
Sum74969.099
Variance0.35611772
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.6541215356
2025-07-22T20:37:31.861085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:31.979511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:32.008631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2498.242857 1
 
3.3%
2498.347857 1
 
3.3%
2498.419286 1
 
3.3%
2498.581429 1
 
3.3%
2498.65 1
 
3.3%
2498.905714 1
 
3.3%
2499.145 1
 
3.3%
2499.319286 1
 
3.3%
2499.490714 1
 
3.3%
2499.696429 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2497.945714 1
3.3%
2498.082857 1
3.3%
2498.205 1
3.3%
2498.242857 1
3.3%
2498.262143 1
3.3%
2498.343571 1
3.3%
2498.347857 1
3.3%
2498.419286 1
3.3%
2498.495714 1
3.3%
2498.581429 1
3.3%
ValueCountFrequency (%)
2499.810714 1
3.3%
2499.789286 1
3.3%
2499.775714 1
3.3%
2499.732143 1
3.3%
2499.696429 1
3.3%
2499.664286 1
3.3%
2499.602857 1
3.3%
2499.58 1
3.3%
2499.490714 1
3.3%
2499.407857 1
3.3%
2025-07-22T20:37:31.891715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2499.0417
Minimum2498.4305
Maximum2499.5386
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:32.047857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2498.4305
5-th percentile2498.6035
Q12498.8227
median2499.035
Q32499.288
95-th percentile2499.4833
Maximum2499.5386
Range1.1080952
Interquartile range (IQR)0.4652381

Descriptive statistics

Standard deviation0.29434559
Coefficient of variation (CV)0.00011778338
Kurtosis-0.81752279
Mean2499.0417
Median Absolute Deviation (MAD)0.22952381
Skewness-0.11111697
Sum74971.251
Variance0.086639326
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4708876481
2025-07-22T20:37:32.098759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:32.225496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:32.253546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.297143 1
 
3.3%
2499.16 1
 
3.3%
2499.021905 1
 
3.3%
2498.928095 1
 
3.3%
2498.819048 1
 
3.3%
2498.697619 1
 
3.3%
2498.638095 1
 
3.3%
2498.751429 1
 
3.3%
2498.83381 1
 
3.3%
2498.925238 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2498.430476 1
3.3%
2498.575238 1
3.3%
2498.638095 1
3.3%
2498.697619 1
3.3%
2498.702381 1
3.3%
2498.751429 1
3.3%
2498.801429 1
3.3%
2498.819048 1
3.3%
2498.83381 1
3.3%
2498.872857 1
3.3%
ValueCountFrequency (%)
2499.538571 1
3.3%
2499.501905 1
3.3%
2499.460476 1
3.3%
2499.399524 1
3.3%
2499.394286 1
3.3%
2499.329048 1
3.3%
2499.31619 1
3.3%
2499.297143 1
3.3%
2499.260476 1
3.3%
2499.230476 1
3.3%
2025-07-22T20:37:32.128458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2499.9245
Minimum2499.4483
Maximum2500.0995
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:32.297030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2499.4483
5-th percentile2499.5637
Q12499.8979
median2499.9878
Q32500.0378
95-th percentile2500.0744
Maximum2500.0995
Range0.65116667
Interquartile range (IQR)0.13991667

Descriptive statistics

Standard deviation0.16665949
Coefficient of variation (CV)6.6665807 × 10-5
Kurtosis1.8790603
Mean2499.9245
Median Absolute Deviation (MAD)0.063583333
Skewness-1.5892343
Sum74997.736
Variance0.027775384
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9836322045
2025-07-22T20:37:32.515899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:32.634853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:32.661804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.893833 1
 
3.3%
2499.91 1
 
3.3%
2499.919333 1
 
3.3%
2499.938333 1
 
3.3%
2499.965167 1
 
3.3%
2500.000667 1
 
3.3%
2500.039667 1
 
3.3%
2500.0465 1
 
3.3%
2500.074333 1
 
3.3%
2500.0995 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2499.448333 1
3.3%
2499.528833 1
3.3%
2499.606333 1
3.3%
2499.675833 1
3.3%
2499.738667 1
3.3%
2499.814833 1
3.3%
2499.887167 1
3.3%
2499.893833 1
3.3%
2499.91 1
3.3%
2499.9115 1
3.3%
ValueCountFrequency (%)
2500.0995 1
3.3%
2500.0745 1
3.3%
2500.074333 1
3.3%
2500.056667 1
3.3%
2500.0465 1
3.3%
2500.040333 1
3.3%
2500.039667 1
3.3%
2500.038333 1
3.3%
2500.036167 1
3.3%
2500.026667 1
3.3%
2025-07-22T20:37:32.550614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_7
Numeric time series

High correlation  Non stationary 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2499.0022
Minimum2497.82
Maximum2499.9371
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:32.711466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2497.82
5-th percentile2497.9835
Q12498.1411
median2499.1993
Q32499.6954
95-th percentile2499.9121
Maximum2499.9371
Range2.1171429
Interquartile range (IQR)1.5542857

Descriptive statistics

Standard deviation0.76668719
Coefficient of variation (CV)0.00030679733
Kurtosis-1.7157918
Mean2499.0022
Median Absolute Deviation (MAD)0.65928571
Skewness-0.2158634
Sum74970.066
Variance0.58780925
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9376106688
2025-07-22T20:37:32.752326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
2025-07-22T20:37:32.861390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:32.893029image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.69 2
 
6.7%
2498.87 1
 
3.3%
2499.175714 1
 
3.3%
2499.455714 1
 
3.3%
2499.671429 1
 
3.3%
2499.767143 1
 
3.3%
2499.768571 1
 
3.3%
2499.805714 1
 
3.3%
2499.937143 1
 
3.3%
2499.888571 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
2497.82 1
3.3%
2497.982857 1
3.3%
2497.984286 1
3.3%
2498.064286 1
3.3%
2498.071429 1
3.3%
2498.092857 1
3.3%
2498.125714 1
3.3%
2498.127143 1
3.3%
2498.182857 1
3.3%
2498.317143 1
3.3%
ValueCountFrequency (%)
2499.937143 1
3.3%
2499.931429 1
3.3%
2499.888571 1
3.3%
2499.88 1
3.3%
2499.805714 1
3.3%
2499.768571 1
3.3%
2499.767143 1
3.3%
2499.697143 1
3.3%
2499.69 2
6.7%
2499.671429 1
3.3%
2025-07-22T20:37:32.780406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2498.97
Minimum2497.9457
Maximum2499.8107
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:32.934783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2497.9457
5-th percentile2498.1378
Q12498.4384
median2498.9564
Q32499.5577
95-th percentile2499.7832
Maximum2499.8107
Range1.865
Interquartile range (IQR)1.1192857

Descriptive statistics

Standard deviation0.59675599
Coefficient of variation (CV)0.00023880079
Kurtosis-1.4155436
Mean2498.97
Median Absolute Deviation (MAD)0.57285714
Skewness-0.046347549
Sum74969.099
Variance0.35611772
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.6541215356
2025-07-22T20:37:32.986953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:33.108542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:33.135678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2498.242857 1
 
3.3%
2498.347857 1
 
3.3%
2498.419286 1
 
3.3%
2498.581429 1
 
3.3%
2498.65 1
 
3.3%
2498.905714 1
 
3.3%
2499.145 1
 
3.3%
2499.319286 1
 
3.3%
2499.490714 1
 
3.3%
2499.696429 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2497.945714 1
3.3%
2498.082857 1
3.3%
2498.205 1
3.3%
2498.242857 1
3.3%
2498.262143 1
3.3%
2498.343571 1
3.3%
2498.347857 1
3.3%
2498.419286 1
3.3%
2498.495714 1
3.3%
2498.581429 1
3.3%
ValueCountFrequency (%)
2499.810714 1
3.3%
2499.789286 1
3.3%
2499.775714 1
3.3%
2499.732143 1
3.3%
2499.696429 1
3.3%
2499.664286 1
3.3%
2499.602857 1
3.3%
2499.58 1
3.3%
2499.490714 1
3.3%
2499.407857 1
3.3%
2025-07-22T20:37:33.021048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2499.0417
Minimum2498.4305
Maximum2499.5386
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:33.175525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2498.4305
5-th percentile2498.6035
Q12498.8227
median2499.035
Q32499.288
95-th percentile2499.4833
Maximum2499.5386
Range1.1080952
Interquartile range (IQR)0.4652381

Descriptive statistics

Standard deviation0.29434559
Coefficient of variation (CV)0.00011778338
Kurtosis-0.81752279
Mean2499.0417
Median Absolute Deviation (MAD)0.22952381
Skewness-0.11111697
Sum74971.251
Variance0.086639326
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4708876481
2025-07-22T20:37:33.219333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:33.360495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:33.385098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.297143 1
 
3.3%
2499.16 1
 
3.3%
2499.021905 1
 
3.3%
2498.928095 1
 
3.3%
2498.819048 1
 
3.3%
2498.697619 1
 
3.3%
2498.638095 1
 
3.3%
2498.751429 1
 
3.3%
2498.83381 1
 
3.3%
2498.925238 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2498.430476 1
3.3%
2498.575238 1
3.3%
2498.638095 1
3.3%
2498.697619 1
3.3%
2498.702381 1
3.3%
2498.751429 1
3.3%
2498.801429 1
3.3%
2498.819048 1
3.3%
2498.83381 1
3.3%
2498.872857 1
3.3%
ValueCountFrequency (%)
2499.538571 1
3.3%
2499.501905 1
3.3%
2499.460476 1
3.3%
2499.399524 1
3.3%
2499.394286 1
3.3%
2499.329048 1
3.3%
2499.31619 1
3.3%
2499.297143 1
3.3%
2499.260476 1
3.3%
2499.230476 1
3.3%
2025-07-22T20:37:33.265505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2499.9245
Minimum2499.4483
Maximum2500.0995
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:33.429561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2499.4483
5-th percentile2499.5637
Q12499.8979
median2499.9878
Q32500.0378
95-th percentile2500.0744
Maximum2500.0995
Range0.65116667
Interquartile range (IQR)0.13991667

Descriptive statistics

Standard deviation0.16665949
Coefficient of variation (CV)6.6665807 × 10-5
Kurtosis1.8790603
Mean2499.9245
Median Absolute Deviation (MAD)0.063583333
Skewness-1.5892343
Sum74997.736
Variance0.027775384
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9836322045
2025-07-22T20:37:33.482647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:33.616207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:33.645316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2499.893833 1
 
3.3%
2499.91 1
 
3.3%
2499.919333 1
 
3.3%
2499.938333 1
 
3.3%
2499.965167 1
 
3.3%
2500.000667 1
 
3.3%
2500.039667 1
 
3.3%
2500.0465 1
 
3.3%
2500.074333 1
 
3.3%
2500.0995 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2499.448333 1
3.3%
2499.528833 1
3.3%
2499.606333 1
3.3%
2499.675833 1
3.3%
2499.738667 1
3.3%
2499.814833 1
3.3%
2499.887167 1
3.3%
2499.893833 1
3.3%
2499.91 1
3.3%
2499.9115 1
3.3%
ValueCountFrequency (%)
2500.0995 1
3.3%
2500.0745 1
3.3%
2500.074333 1
3.3%
2500.056667 1
3.3%
2500.0465 1
3.3%
2500.040333 1
3.3%
2500.039667 1
3.3%
2500.038333 1
3.3%
2500.036167 1
3.3%
2500.026667 1
3.3%
2025-07-22T20:37:33.517039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.975099
Minimum5.46875
Maximum91.176471
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:33.688822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5.46875
5-th percentile10.819167
Q129.861039
median40.416141
Q360.108318
95-th percentile84.121951
Maximum91.176471
Range85.707721
Interquartile range (IQR)30.24728

Descriptive statistics

Standard deviation22.93828
Coefficient of variation (CV)0.51002177
Kurtosis-0.62685609
Mean44.975099
Median Absolute Deviation (MAD)14.702729
Skewness0.32258812
Sum1349.253
Variance526.16469
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1554860307
2025-07-22T20:37:33.727745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:33.841105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:33.866719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
75.1552795 1
 
3.3%
71.14624506 1
 
3.3%
68.70229008 1
 
3.3%
66.66666667 1
 
3.3%
50 1
 
3.3%
48.10495627 1
 
3.3%
60.5015674 1
 
3.3%
50.19762846 1
 
3.3%
55.70175439 1
 
3.3%
78.04878049 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
5.46875 1
3.3%
7.692307692 1
3.3%
14.64088398 1
3.3%
20 1
3.3%
24.81751825 1
3.3%
26.2962963 1
3.3%
27.18446602 1
3.3%
29.47368421 1
3.3%
31.02310231 1
3.3%
31.09756098 1
3.3%
ValueCountFrequency (%)
91.17647059 1
3.3%
89.09090909 1
3.3%
78.04878049 1
3.3%
75.1552795 1
3.3%
71.14624506 1
3.3%
68.70229008 1
3.3%
66.66666667 1
3.3%
60.5015674 1
3.3%
58.92857143 1
3.3%
55.70175439 1
3.3%
2025-07-22T20:37:33.756783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.995575
Minimum19.811321
Maximum71.058824
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:33.909042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19.811321
5-th percentile22.673861
Q131.995476
median43.473137
Q358.475483
95-th percentile70.625896
Maximum71.058824
Range51.247503
Interquartile range (IQR)26.480006

Descriptive statistics

Standard deviation15.93619
Coefficient of variation (CV)0.35417239
Kurtosis-1.2311541
Mean44.995575
Median Absolute Deviation (MAD)12.173924
Skewness0.2001753
Sum1349.8672
Variance253.96216
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9383055742
2025-07-22T20:37:33.947931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:34.057529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:34.081940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
60.08510638 1
 
3.3%
56.46437995 1
 
3.3%
54.22297297 1
 
3.3%
59.14585012 1
 
3.3%
54.31654676 1
 
3.3%
71.05882353 1
 
3.3%
70.25392987 1
 
3.3%
66.57608696 1
 
3.3%
66.34877384 1
 
3.3%
70.93023256 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
19.81132075 1
3.3%
21.21212121 1
3.3%
24.46043165 1
3.3%
26.69245648 1
3.3%
28.67924528 1
3.3%
31.2992126 1
3.3%
31.2992126 1
3.3%
31.96881092 1
3.3%
32.0754717 1
3.3%
32.10116732 1
3.3%
ValueCountFrequency (%)
71.05882353 1
3.3%
70.93023256 1
3.3%
70.25392987 1
3.3%
66.57608696 1
3.3%
66.34877384 1
3.3%
60.86956522 1
3.3%
60.08510638 1
3.3%
59.14585012 1
3.3%
56.46437995 1
3.3%
54.31654676 1
3.3%
2025-07-22T20:37:33.979856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.438946
Minimum26.100629
Maximum64.852399
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:34.125098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum26.100629
5-th percentile29.294417
Q137.90127
median43.428745
Q356.27366
95-th percentile58.939152
Maximum64.852399
Range38.75177
Interquartile range (IQR)18.372389

Descriptive statistics

Standard deviation10.342349
Coefficient of variation (CV)0.22760978
Kurtosis-0.91284042
Mean45.438946
Median Absolute Deviation (MAD)8.0427359
Skewness0.051251845
Sum1363.1684
Variance106.96418
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9507653949
2025-07-22T20:37:34.168972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:34.284733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:34.311390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
45.82429501 1
 
3.3%
41.82746879 1
 
3.3%
41.78004535 1
 
3.3%
44.69002695 1
 
3.3%
43.7260274 1
 
3.3%
43.11183144 1
 
3.3%
46.48283624 1
 
3.3%
58.33333333 1
 
3.3%
56.33699634 1
 
3.3%
57.12166172 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
26.10062893 1
3.3%
27.71285476 1
3.3%
31.22743682 1
3.3%
34.18803419 1
3.3%
34.35897436 1
3.3%
36.41304348 1
3.3%
36.86046512 1
3.3%
37.58212878 1
3.3%
38.85869565 1
3.3%
40.68181818 1
3.3%
ValueCountFrequency (%)
64.85239852 1
3.3%
59.43482224 1
3.3%
58.33333333 1
3.3%
58.07086614 1
3.3%
57.1640683 1
3.3%
57.12909441 1
3.3%
57.12166172 1
3.3%
56.33699634 1
3.3%
56.08365019 1
3.3%
54.921875 1
3.3%
2025-07-22T20:37:34.200226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.533851
Minimum42.648402
Maximum52.423364
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:34.355474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum42.648402
5-th percentile42.949994
Q147.186154
median48.836445
Q351.488824
95-th percentile52.237638
Maximum52.423364
Range9.7749619
Interquartile range (IQR)4.3026696

Descriptive statistics

Standard deviation3.1799913
Coefficient of variation (CV)0.065521101
Kurtosis-0.81338492
Mean48.533851
Median Absolute Deviation (MAD)2.354067
Skewness-0.62090373
Sum1456.0155
Variance10.112345
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8489077921
2025-07-22T20:37:34.401104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:34.704533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:34.728997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
49.64567726 1
 
3.3%
51.00894529 1
 
3.3%
50.57755776 1
 
3.3%
51.16184264 1
 
3.3%
51.65671949 1
 
3.3%
52.21551903 1
 
3.3%
52.42336371 1
 
3.3%
50.44228695 1
 
3.3%
51.85185185 1
 
3.3%
51.68039172 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
42.64840183 1
3.3%
42.88337925 1
3.3%
43.03141202 1
3.3%
43.42822532 1
3.3%
43.52283318 1
3.3%
44.1075336 1
3.3%
46.45370872 1
3.3%
47.11075441 1
3.3%
47.41235392 1
3.3%
47.64300847 1
3.3%
ValueCountFrequency (%)
52.42336371 1
3.3%
52.25573601 1
3.3%
52.21551903 1
3.3%
51.85185185 1
3.3%
51.72237816 1
3.3%
51.68039172 1
3.3%
51.65671949 1
3.3%
51.59781761 1
3.3%
51.16184264 1
3.3%
51.00894529 1
3.3%
2025-07-22T20:37:34.437455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macd_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.060739879
Minimum-0.44540308
Maximum0.45467805
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:34.770617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.44540308
5-th percentile-0.42866975
Q1-0.34457228
median-0.10989554
Q30.21412641
95-th percentile0.45276684
Maximum0.45467805
Range0.90008113
Interquartile range (IQR)0.55869869

Descriptive statistics

Standard deviation0.32503163
Coefficient of variation (CV)-5.3512063
Kurtosis-1.3672661
Mean-0.060739879
Median Absolute Deviation (MAD)0.26139
Skewness0.43195696
Sum-1.8221964
Variance0.10564556
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9833160292
2025-07-22T20:37:34.813385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:34.932151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:34.955830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-0.1583390531 1
 
3.3%
-0.06750050291 1
 
3.3%
-0.05558990324 1
 
3.3%
0.06515447939 1
 
3.3%
0.1730760312 1
 
3.3%
0.2278098707 1
 
3.3%
0.3592177836 1
 
3.3%
0.4546780537 1
 
3.3%
0.4508269374 1
 
3.3%
0.4543540252 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-0.4454030787 1
3.3%
-0.4364937193 1
3.3%
-0.4191071227 1
3.3%
-0.3997635467 1
3.3%
-0.3953572716 1
3.3%
-0.3716460341 1
3.3%
-0.3709250381 1
3.3%
-0.3451082235 1
3.3%
-0.3429644598 1
3.3%
-0.3375014956 1
3.3%
ValueCountFrequency (%)
0.4546780537 1
3.3%
0.4543540252 1
3.3%
0.4508269374 1
3.3%
0.4344297149 1
3.3%
0.4104586592 1
3.3%
0.3592177836 1
3.3%
0.3291789561 1
3.3%
0.2278098707 1
3.3%
0.1730760312 1
3.3%
0.1133600097 1
3.3%
2025-07-22T20:37:34.840622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdsignal_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.086706149
Minimum-1.1202149
Maximum0.71373276
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:35.002720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.1202149
5-th percentile-0.78964848
Q1-0.4537691
median-0.20536847
Q30.33357824
95-th percentile0.69174045
Maximum0.71373276
Range1.8339476
Interquartile range (IQR)0.78734734

Descriptive statistics

Standard deviation0.49905937
Coefficient of variation (CV)-5.7557552
Kurtosis-0.80410895
Mean-0.086706149
Median Absolute Deviation (MAD)0.29470869
Skewness0.11145819
Sum-2.6011845
Variance0.24906026
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2082932088
2025-07-22T20:37:35.051467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:35.170222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:35.196302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-1.120214864 1
 
3.3%
-0.8917468868 1
 
3.3%
-0.6648615312 1
 
3.3%
-0.4478447518 1
 
3.3%
-0.2195242722 1
 
3.3%
-0.06946449028 1
 
3.3%
0.2553749355 1
 
3.3%
0.5122790583 1
 
3.3%
0.5535856205 1
 
3.3%
0.6236632161 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-1.120214864 1
3.3%
-0.8917468868 1
3.3%
-0.6648615312 1
3.3%
-0.5029960043 1
3.3%
-0.4971583154 1
3.3%
-0.4679557899 1
3.3%
-0.4633982392 1
3.3%
-0.4546040651 1
3.3%
-0.4512642162 1
3.3%
-0.4478447518 1
3.3%
ValueCountFrequency (%)
0.7137327591 1
3.3%
0.7137204741 1
3.3%
0.6648759826 1
3.3%
0.6236632161 1
3.3%
0.5535856205 1
3.3%
0.5122790583 1
3.3%
0.4889637762 1
3.3%
0.3596460093 1
3.3%
0.2553749355 1
3.3%
0.2255557614 1
3.3%
2025-07-22T20:37:35.086048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdhist_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02596627
Minimum-0.37560377
Maximum0.96187581
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:35.232851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.37560377
5-th percentile-0.34052273
Q1-0.2727538
median-0.048481036
Q30.17001814
95-th percentile0.72750774
Maximum0.96187581
Range1.3374796
Interquartile range (IQR)0.44277194

Descriptive statistics

Standard deviation0.35337262
Coefficient of variation (CV)13.60891
Kurtosis0.76061211
Mean0.02596627
Median Absolute Deviation (MAD)0.22984309
Skewness1.1055432
Sum0.77898809
Variance0.12487221
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.09381712381
2025-07-22T20:37:35.275798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-22T20:37:35.388870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:35.413933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.9618758106 1
 
3.3%
0.8242463839 1
 
3.3%
0.609271628 1
 
3.3%
0.5129992312 1
 
3.3%
0.3926003034 1
 
3.3%
0.2972743609 1
 
3.3%
0.1038428481 1
 
3.3%
-0.05760100459 1
 
3.3%
-0.1027586831 1
 
3.3%
-0.169309191 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-0.3756037664 1
3.3%
-0.3444710394 1
3.3%
-0.3356970265 1
3.3%
-0.3300560806 1
3.3%
-0.3090330672 1
3.3%
-0.3032618149 1
3.3%
-0.2975898335 1
3.3%
-0.2793030442 1
3.3%
-0.2531060551 1
3.3%
-0.2278944546 1
3.3%
ValueCountFrequency (%)
0.9618758106 1
3.3%
0.8242463839 1
3.3%
0.609271628 1
3.3%
0.5129992312 1
3.3%
0.3926003034 1
3.3%
0.2972743609 1
3.3%
0.1910267266 1
3.3%
0.1803831334 1
3.3%
0.1389231765 1
3.3%
0.1137627205 1
3.3%
2025-07-22T20:37:35.305020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

obv
Real number (ℝ)

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.69459188
Minimum0.05944742
Maximum3.217108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size480.0 B
2025-07-22T20:37:35.452696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.05944742
5-th percentile0.07068262
Q10.139157
median0.37800806
Q30.8773246
95-th percentile2.3191077
Maximum3.217108
Range3.1576605
Interquartile range (IQR)0.73816761

Descriptive statistics

Standard deviation0.81724446
Coefficient of variation (CV)1.1765822
Kurtosis2.4112044
Mean0.69459188
Median Absolute Deviation (MAD)0.27260609
Skewness1.7465298
Sum20.837756
Variance0.6678885
MonotonicityNot monotonic
2025-07-22T20:37:35.492291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2.39955128 1
 
3.3%
0.0946321 1
 
3.3%
0.9579519 1
 
3.3%
0.11617183 1
 
3.3%
0.31358993 1
 
3.3%
0.12645153 1
 
3.3%
1.21947314 1
 
3.3%
0.47274623 1
 
3.3%
2.22078777 1
 
3.3%
0.4023352 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.05944742 1
3.3%
0.06543908 1
3.3%
0.07709139 1
3.3%
0.09001454 1
3.3%
0.0946321 1
3.3%
0.11617183 1
3.3%
0.12024614 1
3.3%
0.12645153 1
3.3%
0.17727339 1
3.3%
0.19983838 1
3.3%
ValueCountFrequency (%)
3.21710797 1
3.3%
2.39955128 1
3.3%
2.22078777 1
3.3%
2.11775256 1
3.3%
1.5530897 1
3.3%
1.21947314 1
3.3%
0.9579519 1
3.3%
0.88299167 1
3.3%
0.86032339 1
3.3%
0.70138349 1
3.3%

target
Numeric time series

High correlation  Non stationary 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2498.299
Minimum2495.87
Maximum2500.29
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-22T20:37:35.534167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2495.87
5-th percentile2496.118
Q12497.625
median2498.15
Q32499.2275
95-th percentile2500
Maximum2500.29
Range4.42
Interquartile range (IQR)1.6025

Descriptive statistics

Standard deviation1.2228016
Coefficient of variation (CV)0.00048945367
Kurtosis-0.59028562
Mean2498.299
Median Absolute Deviation (MAD)0.845
Skewness-0.17932246
Sum74948.97
Variance1.4952438
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9040050963
2025-07-22T20:37:35.571525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
2025-07-22T20:37:35.689635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-22T20:37:35.713151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2498.15 3
 
10.0%
2498.09 2
 
6.7%
2496.95 2
 
6.7%
2500 2
 
6.7%
2499.65 1
 
3.3%
2500.29 1
 
3.3%
2499.93 1
 
3.3%
2499.99 1
 
3.3%
2499.66 1
 
3.3%
2499.04 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
2495.87 1
3.3%
2496.01 1
3.3%
2496.25 1
3.3%
2496.95 2
6.7%
2497.28 1
3.3%
2497.33 1
3.3%
2497.59 1
3.3%
2497.73 1
3.3%
2497.85 1
3.3%
2498.09 2
6.7%
ValueCountFrequency (%)
2500.29 1
3.3%
2500 2
6.7%
2499.99 1
3.3%
2499.93 1
3.3%
2499.66 1
3.3%
2499.65 1
3.3%
2499.29 1
3.3%
2499.04 1
3.3%
2498.87 1
3.3%
2498.76 1
3.3%
2025-07-22T20:37:35.601116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

Interactions

2025-07-22T20:37:28.689062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:08.564531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:09.530098image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:10.397129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:11.234746image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:12.220694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:13.071992image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:13.965814image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:14.929801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:15.711487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:16.552085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:17.560700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:18.374229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:19.139404image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:20.199944image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:20.992756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:21.848769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:22.614945image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:23.538246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:24.370828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:25.125439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:26.040576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:26.866483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:27.741634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:28.719710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:08.600676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:09.563826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:10.431571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:11.269150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:12.256598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:13.105180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:13.995339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:14.975879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:15.747715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:16.591620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:17.595866image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:18.410565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:19.179228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:20.246129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:21.028680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:21.879056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:22.645466image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:23.576981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:24.407772image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:25.155359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:26.075861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:26.916624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:27.773487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:28.752208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:08.635775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:09.599450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:10.466118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:11.302531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:12.292602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:13.139158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:14.027456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:15.013497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:15.783768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:16.625905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:17.629032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:18.448632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:19.224852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:20.279656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:21.078604image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:21.913471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:22.849526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:23.617127image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:24.442066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:25.185714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:26.114003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:26.949773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:27.807416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:28.781807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:08.672545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:09.635761image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:10.497447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:11.336215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:12.328799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:13.172522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:14.058076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:15.048622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:15.816368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:16.657422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:17.659691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:18.483385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:19.257544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:20.320301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:21.121658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:21.952193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:22.883198image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:23.652081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:24.472283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:25.219040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:26.150969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:26.984103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:27.838855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:28.812332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:08.705066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:09.671017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:10.533124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:11.366325image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:12.364401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:13.216961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:14.089521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:15.078640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:15.850123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:16.688569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:17.692346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:18.514654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:19.290406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:20.353475image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:21.158557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:21.996510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:22.917433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:23.684787image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:24.503649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:25.251277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:26.185514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:27.016308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:27.871961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:28.845169image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:08.739659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T20:37:08.773237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:09.751765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:10.606726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:11.445046image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:12.437088image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:13.296477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T20:37:16.760755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:17.766402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:18.586998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:19.361726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:20.420235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:21.228816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:22.068699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T20:37:25.480382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-22T20:37:23.508223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:24.332525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:25.099025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:26.006500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:26.834341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:27.703763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-22T20:37:28.659408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-07-22T20:37:35.757864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
closeema_14ema_21ema_60ema_7highlowmacd_7macdhist_7macdsignal_7obvopenrsi_14rsi_21rsi_60rsi_7sma_14sma_21sma_60sma_7targetvolumewindow_end_mswindow_start_ms
close1.0000.384-0.1180.4680.8160.9650.9480.8840.1890.4040.0280.9080.8810.6360.6170.7150.384-0.1180.4680.8160.7250.028-0.830-0.830
ema_140.3841.0000.4770.8710.7540.4410.4030.531-0.7990.947-0.0330.4110.3820.8250.435-0.0361.0000.4770.8710.7540.232-0.033-0.305-0.305
ema_21-0.1180.4771.0000.3410.076-0.091-0.150-0.216-0.5710.213-0.132-0.154-0.1570.3780.190-0.1870.4771.0000.3410.076-0.010-0.132-0.083-0.083
ema_600.4680.8710.3411.0000.7760.4950.4610.556-0.5830.8560.1100.4770.5480.7650.6400.0640.8710.3411.0000.7760.4810.110-0.461-0.461
ema_70.8160.7540.0760.7761.0000.8430.8270.891-0.2870.7570.0160.8140.8040.8280.6450.3700.7540.0760.7761.0000.6450.016-0.751-0.751
high0.9650.441-0.0910.4950.8431.0000.9500.8800.1210.4470.0660.9420.8720.6510.5810.6450.441-0.0910.4950.8430.7190.066-0.831-0.831
low0.9480.403-0.1500.4610.8270.9501.0000.9060.1780.419-0.0180.9760.8670.6210.6180.6690.403-0.1500.4610.8270.704-0.018-0.817-0.817
macd_70.8840.531-0.2160.5560.8910.8800.9061.000-0.0180.595-0.0330.8860.8490.7350.5640.5320.531-0.2160.5560.8910.536-0.033-0.697-0.697
macdhist_70.189-0.799-0.571-0.583-0.2870.1210.178-0.0181.000-0.7490.0550.1670.190-0.504-0.0190.487-0.799-0.571-0.583-0.2870.2720.055-0.221-0.221
macdsignal_70.4040.9470.2130.8560.7570.4470.4190.595-0.7491.000-0.0040.4250.4010.7780.394-0.0520.9470.2130.8560.7570.197-0.004-0.242-0.242
obv0.028-0.033-0.1320.1100.0160.066-0.018-0.0330.055-0.0041.0000.0580.167-0.0280.090-0.034-0.033-0.1320.1100.0160.2151.000-0.087-0.087
open0.9080.411-0.1540.4770.8140.9420.9760.8860.1670.4250.0581.0000.8800.6160.6380.6260.411-0.1540.4770.8140.7010.058-0.815-0.815
rsi_140.8810.382-0.1570.5480.8040.8720.8670.8490.1900.4010.1670.8801.0000.6280.7400.5630.382-0.1570.5480.8040.7760.167-0.855-0.855
rsi_210.6360.8250.3780.7650.8280.6510.6210.735-0.5040.778-0.0280.6160.6281.0000.6030.1660.8250.3780.7650.8280.392-0.028-0.585-0.585
rsi_600.6170.4350.1900.6400.6450.5810.6180.564-0.0190.3940.0900.6380.7400.6031.0000.2900.4350.1900.6400.6450.7240.090-0.758-0.758
rsi_70.715-0.036-0.1870.0640.3700.6450.6690.5320.487-0.052-0.0340.6260.5630.1660.2901.000-0.036-0.1870.0640.3700.489-0.034-0.541-0.541
sma_140.3841.0000.4770.8710.7540.4410.4030.531-0.7990.947-0.0330.4110.3820.8250.435-0.0361.0000.4770.8710.7540.232-0.033-0.305-0.305
sma_21-0.1180.4771.0000.3410.076-0.091-0.150-0.216-0.5710.213-0.132-0.154-0.1570.3780.190-0.1870.4771.0000.3410.076-0.010-0.132-0.083-0.083
sma_600.4680.8710.3411.0000.7760.4950.4610.556-0.5830.8560.1100.4770.5480.7650.6400.0640.8710.3411.0000.7760.4810.110-0.461-0.461
sma_70.8160.7540.0760.7761.0000.8430.8270.891-0.2870.7570.0160.8140.8040.8280.6450.3700.7540.0760.7761.0000.6450.016-0.751-0.751
target0.7250.232-0.0100.4810.6450.7190.7040.5360.2720.1970.2150.7010.7760.3920.7240.4890.232-0.0100.4810.6451.0000.215-0.899-0.899
volume0.028-0.033-0.1320.1100.0160.066-0.018-0.0330.055-0.0041.0000.0580.167-0.0280.090-0.034-0.033-0.1320.1100.0160.2151.000-0.087-0.087
window_end_ms-0.830-0.305-0.083-0.461-0.751-0.831-0.817-0.697-0.221-0.242-0.087-0.815-0.855-0.585-0.758-0.541-0.305-0.083-0.461-0.751-0.899-0.0871.0001.000
window_start_ms-0.830-0.305-0.083-0.461-0.751-0.831-0.817-0.697-0.221-0.242-0.087-0.815-0.855-0.585-0.758-0.541-0.305-0.083-0.461-0.751-0.899-0.0871.0001.000

Missing values

2025-07-22T20:37:29.500015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-22T20:37:29.579446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

openhighlowclosewindow_start_mswindow_end_msvolumesma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
17523490800002499.392499.992498.882499.99175234908000017523491400002.402498.872498.242499.302499.892498.872498.242499.302499.8975.1660.0945.8249.65-0.16-1.120.962.402499.65
17523491400002499.982499.992499.732499.73175234914000017523492000000.092499.182498.352499.162499.912499.182498.352499.162499.9171.1556.4641.8351.01-0.07-0.890.820.092499.93
17523492000002499.192499.652499.082499.08175234920000017523492600000.962499.462498.422499.022499.922499.462498.422499.022499.9268.7054.2241.7850.58-0.06-0.660.610.962500.00
17523492600002499.682500.002499.682500.00175234926000017523493200000.122499.692498.582498.932499.942499.692498.582498.932499.9466.6759.1544.6951.160.07-0.450.510.122499.99
17523493200002500.002500.002499.992499.99175234932000017523493800000.312499.692498.652498.822499.972499.692498.652498.822499.9750.0054.3243.7351.660.17-0.220.390.312500.00
17523493800002499.952499.952499.652499.65175234938000017523494400000.132499.672498.912498.702500.002499.672498.912498.702500.0048.1071.0643.1152.220.23-0.070.300.132499.66
17523494400002499.932499.932499.522499.93175234944000017523495000001.222499.772499.142498.642500.042499.772499.142498.642500.0460.5070.2546.4852.420.360.260.101.222500.29
17523495000002499.542500.002499.542500.00175234950000017523495600000.472499.772499.322498.752500.052499.772499.322498.752500.0550.2066.5858.3350.440.450.51-0.060.472499.29
17523495600002499.982499.992499.912499.99175234956000017523496200002.222499.812499.492498.832500.072499.812499.492498.832500.0755.7066.3556.3451.850.450.55-0.102.222498.65
17523496200002500.002500.002499.992500.00175234962000017523496800000.402499.942499.702498.932500.102499.942499.702498.932500.1078.0570.9357.1251.680.450.62-0.170.402499.04
openhighlowclosewindow_start_mswindow_end_msvolumesma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
17523502800002497.972498.102497.952498.09175235028000017523503400003.222498.322499.012499.262499.992498.322499.012499.262499.9938.5232.1042.9847.64-0.40-0.23-0.173.222498.16
17523503400002498.092498.102498.092498.10175235034000017523504000000.412498.182498.872499.172499.962498.182498.872499.172499.9627.1831.3037.5847.11-0.40-0.29-0.100.412498.15
17523504000002498.102498.102498.092498.09175235040000017523504600000.182498.072498.742499.092499.912498.072498.742499.092499.9129.4731.3038.8646.45-0.37-0.33-0.040.182497.85
17523504600002498.162498.162498.152498.15175235046000017523505200000.862497.982498.602499.052499.892497.982498.602499.052499.8933.5131.9743.1347.97-0.35-0.380.030.862497.33
17523505200002498.162498.162498.152498.15175235052000017523505800000.362498.062498.502498.962499.812498.062498.502498.962499.8191.1834.2434.1943.43-0.34-0.450.110.362496.95
17523505800002498.152498.162498.152498.16175235058000017523506400000.082498.132498.342498.872499.742498.132498.342498.872499.7489.0924.4634.3643.03-0.32-0.450.140.082496.95
17523506400002498.162498.162498.152498.15175235064000017523507000000.202498.132498.262498.802499.682498.132498.262498.802499.6853.3332.0836.4144.11-0.31-0.500.190.202497.28
17523507000002497.822497.852497.822497.85175235070000017523507600000.442498.092498.212498.702499.612498.092498.212498.702499.6120.0035.9231.2343.52-0.32-0.500.180.442496.01
17523507600002497.352497.352497.172497.33175235076000017523508200000.302497.982498.082498.582499.532497.982498.082498.582499.537.6921.2127.7142.88-0.37-0.470.100.302495.87
17523508200002496.942496.962496.942496.95175235082000017523508800000.702497.822497.952498.432499.452497.822497.952498.432499.455.4719.8126.1042.65-0.44-0.460.030.702496.25